Recommended
More Related Content
Similar to The Intelligence Infusion in SharePoint
Similar to The Intelligence Infusion in SharePoint (20)
Recently uploaded
Recently uploaded (20)
The Intelligence Infusion in SharePoint
- 1. The Intelligence Infusion in Modern SharePoint Ep. 06/19 A story of the journey from «Your intranet in your pocket» to the «Intelligent Intranet». This is not your moms on-prem SharePoint anymore. @marcelhaasIO|#SPSLondon +
- 2. @marcelhaasIO|#SPS_London 14% 9% 9% 9% 5%5%5% 9% 5% 10% 5% 5% 5% 5% Key Topics SharePoint Microsoft AI Platform Cognitive Services Azure Machine Learning Auto Machine Learning Machine Teaching Microsoft Bot Framework Microsoft Search Microsoft Teams + Session Overview 0 5 10 15 20 25 30 35 40 45 Get inspired to build more intelligent workplace experiences Learn about Microsoft Search Capabilities Learn what makes SharePoint Intelligent Get an overview of the Microsoft AI Platform Learn what's AI and what's not Introduction Content / Learnings
- 3. Marcel Haas Solution Architect Founder and COO of CNEXT Founder of EMMO SharePoint friend since 2006. Currently in love with all things serverless, intelligent and thriving to make SharePoint more intelligent. Sorry for my Swinglish language ;-) Tech Events Speaker / Blogger Live Demo Fanatic Community Lover Modern Workplace Architect, not Mathemagician or statistics Jedi. Father, Pet zoo owner, gardener and housewife About @marcelhaasIO|#SPS_London +
- 5. What’s Artificial Intelligence? @marcelhaasIO|#SPS_London + Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. AI in visualization is often related to robots, but actually it’s mostly open source software and algorithms. According to Arend Hintze, AI can be categorized in different types: Type 1: Reactive machines (Chess / Watson) Type 2: Limited memor () Type 3: Theory of mind Type 4: Self-awareness
- 8. What’s NOT AI? @marcelhaasIO|#SPS_London + AI is not taking over the world or humanity yet, but we need to watch and guide it’s potential. Marketing used the term “AI” often wrong. Look let’s look at some examples to understand the difference: Machine LearningSimple SW Logic User Reality
- 9. Cognitive computing systems use computerized models to simulate the human cognition process to find solutions in complex situations where the answers may be ambiguous and uncertain. While the term cognitive computing is often used interchangeably with artificial intelligence (AI), the phrase is closely associated with IBM's cognitive computer system, Watson. https://searchenterpriseai.techtarget.com/definition/cognitive-computing Cognitive Computing @marcelhaasIO|#SPS_London +
- 13. New Cognitive Services @marcelhaasIO|#SPS_London + Preview - Cognitive service APIs: Personalizer – creates personalized user experiences Conversation transcription – transcribes in-person meetings in real-time Form Recognizer – automates data-entry Ink Recognizer – unlocks the potential of digital inked content Preview - Container support for businesses AI models at the edge and closer to the data: Speech Services (Speech to Text & Text to Speech) Anomaly Detector Form Recognizer Generally available: Neural Text-to-Speech Computer Vision Read Text Analytics Named Entity Recognition
- 15. Automated ML democratizes the machine learning model development process, and empowers its users, no matter their data science expertise, to identify an end-to-end machine learning pipeline for any problem. With automated machine learning, you'll accelerate the time it takes to get production- ready ML models with great ease and efficiency. 80% of a data scientists job is to do data classification, preparation and infeed. Let’s help them, so they can focus on their core skills. Automated Machine Learning @marcelhaasIO|#SPS_London +
- 16. AI and Cognitive Computing can do some magic, but we are at an early stage of broader adoption and systems need more data to become more accurante. What most of us already do is somehow inputing data input algorithms. With our digital signals, behaviour and traces, we are all part of a machine teaching team. Machine Teaching @marcelhaasIO|#SPS_London + ...and now we need to help them to make the models more accurate??! Seriously?
- 17. SharePoint Content • Deep Understanding • Intelligent Surfacing • Personalized Experiences • SharePoint Home Sites • SharePoint App Search • Microsoft Search (Search + AI) • Cognitive Skills • Prebuilt AI / Auto ML • Machine Teaching • Bookmarks, Locations, QnA Conversational AI • Virtual Assistants / Bots • Natural Language Understanding • Text/Voice/Speech/Video • Cognitive Skills • Prebuilt AI, Auto ML Custom AI • Custom Machine Learning • Advanced Analytics • Interactive Dashboards • Data Driven Notifications • Auto ML / Machine Teaching What makes SharePoint «intelligent»? Azure AI Platform @marcelhaasIO|#SPSLondon|thatmarcelhaas.com + Microsoft Graph
- 18. Deep Understanding of content @marcelhaasIO|#SPS_London +
- 19. Soon: SharePoint Home Sites @marcelhaasIO|#SPSLondon +
- 20. Soon: SharePoint Home Sites @marcelhaasIO|#SPSLondon + SharePoint home sites are an intelligent, integrated employee experience—a landing page—for your organization that: Connects the workplace with Microsoft Search and megamenu navigation. Shares relevant news and content to each user based on their role and place in the organization. Engages employees with conversation and compelling video powered by Yammer and Microsoft Stream. Powers individual productivity with personalized content, information, and navigation
- 21. Targeted Release: Microsoft Search in SharePoint @marcelhaasIO|#SPSLondon +
- 28. Demo of your choice! @marcelhaasIO|#SPSLondon + Bike Rental Forecast *Mandatory Emotion and Face Detection Document Auto Classification Blockchain Integration Chicken Detector Sexy Row Formatting